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GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 27 days ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 27 days ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
161
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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 27 days ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
GECCO
2007
Springer
345views Optimization» more  GECCO 2007»
16 years 27 days ago
A novel approach to automatic music transcription using electronic synthesis and genetic algorithms
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and di...
Gustavo Reis, Francisco Fernández de Vega
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 27 days ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean